from pulp import LpProblem, LpMinimize, LpVariable, LpStatus, PULP_CBC_CMD

class EnergyManagementModel:
    def __init__(self, params):
        self.params = params
        self.prob = None
        self.variables = None

    def build_model(self):
        self.prob = LpProblem("Energy_Management", LpMinimize)
        self.variables = {}

        # 定义变量
        self.variables['P_batt_charge'] = LpVariable.dicts("P_batt_charge", ((i, t) for i in range(self.params['n']) for t in range(self.params['T'])), lowBound=0, upBound=self.params['P_batt_max'], cat='Continuous')
        self.variables['P_batt_discharge'] = LpVariable.dicts("P_batt_discharge", ((i, t) for i in range(self.params['n']) for t in range(self.params['T'])), lowBound=0, upBound=self.params['P_batt_max'], cat='Continuous')
        self.variables['P_grid'] = LpVariable.dicts("P_grid", ((i, t) for i in range(self.params['n']) for t in range(self.params['T'])), lowBound=0, cat='Continuous')
        self.variables['y'] = LpVariable.dicts("y", ((i, t) for i in range(self.params['n']) for t in range(self.params['T'])), cat='Binary')
        self.variables['z'] = LpVariable.dicts("z", ((i, t) for i in range(self.params['n']) for t in range(self.params['T'])), cat='Binary')

        # 目标函数
        objective = (self.params['C_grid'] * lpSum(self.variables['P_grid'][(i, t)] for i in range(self.params['n']) for t in range(self.params['T'])) 
                     + self.params['C_wind'] * lpSum(params['P_wind'][i][t] for i in range(self.params['n']) for t in range(self.params['T'])) 
                     + self.params['C_solar'] * lpSum(params['P_solar'][i][t] for i in range(self.params['n']) for t in range(self.params['T'])) 
                     + self.params['C_batt_power'] * lpSum(self.variables['P_batt_charge'][(i, t)] + self.variables['P_batt_discharge'][(i, t)] for i in range(self.params['n']) for t in range(self.params['T'])))
        self.prob += objective

        # 约束条件
        for i in range(self.params['n']):
            for t in range(self.params['T']):
                # 能量平衡
                self.prob += (self.variables['P_grid'][(i, t)] == 
                              self.params['L'][i][t] - 
                              self.params['P_wind'][i][t] - 
                              self.params['P_solar'][i][t] + 
                              self.variables['P_batt_charge'][(i, t)] - 
                              self.variables['P_batt_discharge'][(i, t)])
                # 充电放电互斥约束
                self.prob += self.variables['P_batt_charge'][(i, t)] <= self.params['M'] * self.variables['z'][(i, t)],
                self.prob += self.variables['P_batt_discharge'][(i, t)] <= self.params['M'] * self.variables['y'][(i, t)],
                self.prob += self.variables['y'][(i, t)] + self.variables['z'][(i, t)] <= 1,

    def solve_model(self):
        self.prob.solve(PULP_CBC_CMD(msg=True))
        return LpStatus[self.prob.status]

    def print_solution(self):
        for i in range(self.params['n']):
            for t in range(self.params['T']):
                print(f"P_grid[{i},{t}] = {self.variables['P_grid'][(i, t)].value()}")
                # 打印其他变量结果...

# 参数和常量
params = {
    # 此处应填入参数和常量
}

# 创建模型实例
model = EnergyManagementModel(params)
model.build_model()
status = model.solve_model()

if status == LpStatus.Optimal:
    print("Optimal solution found.")
    model.print_solution()
else:
    print("Optimal solution not found.")